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OpenAI Assistants
Manage OpenAI Assistants, threads and runs.
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About
Auto-generated
OpenAI Assistants is a Model Context Protocol server in the Developer Tools category. It lets AI assistants that speak MCP call its tools and read its resources over STDIO.
Example tools
Illustrative tool names — the actual tool set is defined by the server at runtime.
list_resources
Enumerate resources exposed by this MCP
get_resource
Fetch a resource by ID
invoke
Invoke the primary action of this MCP
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Frequently Asked Questions
Common questions about OpenAI Assistants.
- What is the OpenAI Assistants MCP?
- The OpenAI Assistants MCP enables you to manage OpenAI Assistants, threads, and runs. It integrates directly with tools and clients that support the Model Context Protocol, providing a structured way to interact with OpenAI's असिस्टेंटs API.
- How do I install the OpenAI Assistants MCP in a client like Cursor?
- Installation in a client like Cursor typically involves configuring a new MCP server connection. You would specify the server's slug, 'openai-assistants', and provide the required API key for authentication. Consult your client's documentation for exact steps.
- Does the OpenAI Assistants MCP require an API key for authentication?
- Yes, this MCP requires an API key for authentication. This API key is used to authorize your requests to the underlying OpenAI Assistants service, as indicated by the 'apikey' authentication type.
- What capabilities does the OpenAI Assistants MCP expose?
- This MCP is designed to manage OpenAI Assistants, threads, and runs. This includes operations like creating, retrieving, and updating assistants, as well as managing the conversation flow within threads and executing runs.
- What are the costs associated with using the OpenAI Assistants MCP?
- The cost of using the OpenAI Assistants MCP depends entirely on the pricing model of the underlying OpenAI Assistants API. You should refer to OpenAI's official documentation for their current pricing structure, as the MCP itself is a protocol for interaction.
- What is a common limitation when using the OpenAI Assistants MCP?
- A common limitation is the dependency on the OpenAI Assistants API's rate limits and available models. The performance and capabilities of the MCP are directly tied to the underlying OpenAI service, which might impose usage restrictions.
Install OpenAI Assistants
Claude Desktop
Add this to claude_desktop_config.json.
{
"mcpServers": {
"openai-assistants": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-openai-assistants"
]
}
}
}Cursor
Add this to ~/.cursor/mcp.json.
{
"mcpServers": {
"openai-assistants": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-openai-assistants"
]
}
}
}VS Code
Add this to your workspace settings.json.
{
"mcp.servers": {
"openai-assistants": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-openai-assistants"
]
}
}
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